How could GenAI change the mortgage lending lifecycle?
Traditional loan offerings focus on standardized products with minimal customization, all with costly manual underwriting processes. Leveraging GenAI, banks can use customer data to better tailor products to individual profiles and adjust loan terms based on these insights. Not only does this streamline operational costs, but it also lowers the potential for default, making mortgage products more accessible as well as more efficient.
On the backend, lenders often navigate multiple disparate databases to answer even simple queries. This can lead to outdated information, bottlenecks, and misinterpretations of what the data actually says. Here, GenAI can be used to harmonize insights from across different departments in a single interface that’s easy to read, simplifying and streamlining the information-gathering process for all involved.
Lastly, GenAI can be a key tool in fielding first-line customer complaints. Rather than manually logging and categorizing tickets, GenAI can transcribe and summarize calls to help classify them and identify trends in real time, allowing agents to focus on empathy and creativity in the problem-solving process.
I enjoyed reading this insights piece by Aditya Swaminathan, Sameer Gupta, and William Coe, which explores the future of mortgage lending with GenAI at its core.
https://lnkd.in/eYXejGxA
Mortgage Banking / Financial Services Leader Experienced in Pioneering Complex Tech Solutions - SVP Enterprise Solutions - Executive Level Business Development/Sales/Strategic Initiatives
1moGreat article! Additionally, the pull through rate percentage from app to close must be significantly higher as well.